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Branch Target Buffer (BTB) plays an important role in modern processors. It is used to identify branches in the instruction stream and predict branch targets. The accuracy of BTB is highly impacted by ...
Physiological studies have shown that differences in facial activities between depressed patients and normal individuals are manifested in different local facial regions and the durations of these ...
The increasing integration of photovoltaic generators (PVGs) and the uneven economic development in different regions may cause the unbalanced spatial-temporal distribution of load demands in an urban ...
In this letter, a hybrid-type multilevel dual active bridge (HML-DAB) topology is proposed for high and ultrawide input-voltage applications. In addition, a variable-level modulation method is ...
Visible-Infrared person Re-IDentification (VI-ReID) is a challenging cross-modality image retrieval task that aims to match pedestrians’ images across visible and infrared cameras. To solve the ...
Frame prediction based on AutoEncoder plays a significant role in unsupervised video anomaly detection. Ideally, the models trained on the normal data could generate larger prediction errors of ...
This paper presents a multimodal approach for speech emotion recognition based on Multi-Level Multi-Head Fusion Attention mechanism and recurrent neural network (RNN). The proposed structure has ...
Our hybrid multi-level analysis approach includes advanced static and dynamic methods and a novel strategy of analyzing behavioral chains with AI techniques. Moreover, association rule mining, natural ...
For hearing imitation signers, signs are more separable, resulting in a 96% accuracy with CAEs. Further, fluent ASL recognition accuracy is significantly increased with use of the multi-frequency ...
Objective: Mental stress is a major problem in our society and has become an area of interest for many psychiatric researchers. One primary research focus area is the identification of bio-markers ...
How to learn multi-scale and multi-level representations is crucial for robust tracking. However, most current one-stream structure based trackers with visual transformers (dubbed ViTs) cannot ...